Machine Learning

Articles published in this theme: 2390 (scroll down to load remaining articles)

2026

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Machine Learning–Augmented Traditional Analysis of Lactate vs Lactate-to-Albumin Ratio for Predicting Mortality Risk in Patients With Sepsis: Large-Scale Retrospective Study

Xiaodi Wang, Yi Xu, Weijun Xiao, Peng Dou, Yunxia Huang, Muhan Cao, Liang Luo, Qinghua Hou

JMIR Med Inform 2026 (Jul 16); 14:e82230

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Development and Clinical Evaluation of a Large Language Model–Based System for Generating Patient-Friendly Echocardiography Reports: Two-Stage Retrospective Validation and Prospective Survey Study

Yuanyuan Sun, Chengmin Huang, Huiyuan Kang, Kaimin Wu, Zhiyuan Jin, Caimei Chen, Mulan Liao, Weimei Ou, Bin Wang, Xu Chen, Guoming Zhang

J Med Internet Res 2026 (Jul 16); 28:e97136

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Publicly Accessible Large Language Model Responses to Frequently Asked Questions About Spondylodiscitis: Preliminary Expert Evaluation

Melanie Ardelt, David Schiffelholz, Siegmund Lang, Josina Straub, Sonja Häckel, Nicolas von der Hoeh, Marc Dreimann, Jonathan Neuhoff, Sebastian Siller, Denis Bratelj, Volker Alt, Dietmar Dammerer, Jonas Krueckel

J Med Internet Res 2026 (Jul 16); 28:e90364

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Application of AI in Hypertension Health Education: Scoping Review

Haoran Chen, Shenglan Xiao, Tong Wan, Gui Li, Yanhong Peng, Zhimin Wang

J Med Internet Res 2026 (Jul 15); 28:e95596

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An AI-Assisted Tool to Predict Continuous Glucose Monitor Adherence in Children With Type 1 Diabetes in Oman: Protocol for a Multiphase Mixed Methods Translational Study

Thamra Al Ghafri, Saud Al Harthi, Asma Bait Ishaq, Rahma Al-Ghadani, Maryam Al Muaini, Ahmed Aljufaili, Mohamed Al Harb, Abdullah Al Saadi, Abdelhamid Abdessalem, Noushath Shaffi, Mohamed Ahmed, Said Jaboob, Nadia Al Maqbali, Moza Al-Shehhi, Talib Al Kalbani, Amal Al Shukaili, Jannat Al Harthi, Huwaida Al Harthi

JMIR Res Protoc 2026 (Jul 13); 15:e99626

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Toward a Better Paradigm for Head and Neck Cancer Treatment Applying AI (HNC-TACTIC): Protocol for an International Cohort Study of Electronic Health Records

Hisham Mehanna, Jacobo Rogado, Alejandro Castro Calvo, Víctor González, Francina Aguilar, Dorian Culié, Álvaro Sanabria, Sergio Fabian Zuñiga Pavia, Marta Guix, Sujith Baliga, Roland Giger, Sara-Lynn Hool, Olgun Elicin, Matthaeus Stoehr, Ahmad K Abou-Foul, Melvin L K Chua, Pablo Parente, Andreas Dietz, John R de Almeida, Christian Simon, F Christopher Holsinger, Robert Ferris, Raul Giglio, Kate Hutcheson, David Casadevall, Miren Taberna

JMIR Res Protoc 2026 (Jul 13); 15:e83598

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Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study

Jae Seok Kwak, Hae Kook Lee, Sun-Jin Jo, Jun Hyuk Kwon, Sun Jung Kwon, Yena Kim, Haejung Lee

JMIR Mhealth Uhealth 2026 (Jul 10); 14:e88223

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Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study

Hielke Muizelaar, Marcel Haas, Maarten van Aken, Rimke Vos, Marco Spruit

JMIR Med Inform 2026 (Jul 09); 14:e80377

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xHD-Vox, an Automated Speech Model for Estimating Motor and Cognitive Scores in Huntington Disease: Development and Longitudinal Validation

Tiphaine Le Ludec, Andres Gil-Salcedo, Hadrien Titeux, Robin Louiset, Clément Le Moine Veillon, Renaud Massart, Anne-Catherine Bachoud-Lévi

JMIR Neurotech 2026 (Jul 08); 5:e83838

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Prompt-Sensitive Decision Behavior of Large Language Models in Intensive Care Unit Mortality Prediction for Spontaneous Intracerebral Hemorrhage: Comparative Benchmarking Study

Jinn-Rung Kuo, Xiao-Han Vivian Yap, Chao-Chien Li, Yung-De Kuo, Chung-Feng Liu, Guan-Yu Chen

J Med Internet Res 2026 (Jul 08); 28:e29701

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AI-Assisted Detection of Supraspinatus Tendon Pathologies Using a Hierarchical Deep Learning Model to Improve Clinical Applicability: Development and Evaluation Study

Kun-Hui Chen, Jacky Chung-Hao Wu, Hsin-Yu Chang, En-Rung Chiang, Hsuan-Hsiao Ma, Hsin-Yi Wang, Henry Horng-Shing Lu, Chih-Yu Yang

JMIR Med Inform 2026 (Jul 08); 14:e84804

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Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data

Yujeong Jang, Jae Hoon Kwon, Heeyong Kim, You-Jin Joung, Junho ‍Nang, Chang Hyun Kim

J Med Internet Res 2026 (Jul 07); 28:e86087

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Magnetic Resonance Imaging–Based Artificial Intelligence in Predicting Prostate Cancer Biochemical Recurrence: Systematic Review and Meta-Analysis

Yanjun Jin, Tianzuo Yuan, Zhiyuan Chen

J Med Internet Res 2026 (Jul 07); 28:e85360

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Generative Artificial Intelligence Literacy Scale for Nurses: Development and Psychometric Evaluation

Kuan-Lin Chu, Ching-Ling Wang, Che-Ming Chang, Jyh-Chong Liang, Lu-Yen Anny Chen, Chieh-Yu Liu, Cheng-Pei Lin

J Med Internet Res 2026 (Jul 06); 28:e95547

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Prediction of Type 2 Diabetes Mellitus From Chest X-Rays Using a Suite of Previously Developed Chronic Disease Deep Learning Models in an Ethnically Diverse Cohort: Observational Study

Pola Lydia Lagari, Awais Farooq, Brian Thomas Layden, Ayis Pyrros, William Galanter

JMIR AI 2026 (Jul 03); 5:e85248

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Evaluation and Comparison of Latent Health Risk Prediction Models for Clinical Triage: Protocol for a Mixed Methods Study

Morgan Roberts, Otso Pelkonen, Diana Shamsutdinova, Saskia C Sanderson, Pawel Renc, Hugh Logan Ellis

JMIR Res Protoc 2026 (Jul 03); 15:e85437

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Graph Network Feature Space Fusion for Predicting Irregularly Sampled Medical Time-Series Data: Deep Learning Model Development and Validation Study

Tianle Hong, Zedong Ren, Junfei Fang, Shichao Quan, Jingye Pan, Yezhi Lin

JMIR Med Inform 2026 (Jul 03); 14:e81145

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Linguistic Fidelity and Classification Performance of Large Language Models for Generating Synthetic Operative Notes: Evaluation Study

Meredith Cox, Elaine Lin, Nicholas Oleck, Carlee Jones, Neill Y Li, Suhail K Mithani, Alexander C Allori

JMIR Form Res 2026 (Jul 03); 10:e87276

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Machine Learning–Based Predictive Model for Functional Independence in Spinal Cord Injury: Protocol for a Predictive Rule Development and Validation Study

Alberto Isaac Perez-Sanpablo, Marlene Alejandra Rodriguez-Barragan, Alicia Meneses-Peñaloza, Jimena Quinzaños-Fresnedo, Aida Barrera-Ortiz, Fabiola Monserrat Palomino-Ramos, Oscar Prado-Escobar, Marcela D Rodríguez, Irvin Hussein Lopez-Nava, Jose Ambrosio-Bastian

JMIR Res Protoc 2026 (Jul 03); 15:e95236

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Development and Validation of an Explainable Machine Learning Model to Assess the Prevalence Probability of Gastrointestinal Heat Retention Syndrome in Children: Cross-Sectional Study

Senlong Hou, Jiyu Jiang, Xue Li, Mingze Yang, Qilin Chen, Xueyan Ma, Xiaohong Gu

J Med Internet Res 2026 (Jul 02); 28:e94775

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